Beginner · Data
Inference path
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. The sequence of decisions or conditions a data point follows through a decision tree to reach a final prediction.
Technical Definition
The sequence of decisions or conditions a data point follows through a decision tree to reach a final prediction.
How it works
In a decision tree, the inference path represents the route a specific data instance takes from the root node down to a leaf node. At each internal node, a condition is evaluated based on the data point's features, determining which branch to follow. This path concludes at a leaf node, which provides the final prediction or classification for that data point.
Related Concepts
- Inference — Using a trained model to make predictions on new data — the deployment phase of machine learning.
- Prediction — The output a trained model produces when given new input data.
- Decision tree — A decision tree is a supervised learning model that uses a tree-like structure of decisions and their possible consequences.